Please help me with terraform script to run Azure databricks notebook(python)in other environment.Thank you
You should synchronise Databricks Notebooks via databricks_notebook and scheduling every quartz_cron_expression through databricks_job notebook_task. See example configuration here.
These are the supported developer tools help you develop Azure Databricks applications using the Databricks REST API, Databricks Utilities, Databricks CLI, and tools outside the Azure Databricks environment.
Reference: Azure Databricks - Developer Tools.
Hope this helps.
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I am a beginner in azure databricks notebook. I read the docs that in the azure databricks notebook, there should be a Repo in the sidebar. But in one of my notebooks, I didn't find it. Do you know why? Is it because of some setting on purpose?
This happens when Repos aren't enabled in your Databricks workspace:
Ask your administrator to enable it:
Is there a way to enable VM insights in azure using azure python sdk ?
Need to enable this so that the InsightMetrics/PerfMetrics are available in Log Analytics.
Thanks.
We can enable VM insights using Azure Python SDK.
Create a workspace using https://learn.microsoft.com/en-us/python/api/azure-mgmt-loganalytics/azure.mgmt.loganalytics.operations.workspacesoperations?view=azure-python#azure-mgmt-loganalytics-operations-workspacesoperations-begin-create-or-update
Enable OmsAgentForLinux, DependencyAgentLinux entensions on the required VM using https://learn.microsoft.com/en-us/python/api/azure-mgmt-compute/azure.mgmt.compute.v2021_04_01.operations.virtualmachineextensionsoperations?view=azure-python#azure-mgmt-compute-v2021-04-01-operations-virtualmachineextensionsoperations-begin-create-or-update
Install VM insights solution on the Workspace using azure deployments.
https://learn.microsoft.com/en-us/azure/azure-monitor/vm/vminsights-configure-workspace?tabs=CLI#add-vminsights-solution-to-workspace
This has the process for VM insights solution using cli. The same can done using python sdk using deployments. https://learn.microsoft.com/en-us/python/api/azure-mgmt-resource/azure.mgmt.resource.resources.v2019_05_01.operations.deploymentsoperations?view=azure-python#azure-mgmt-resource-resources-v2019-05-01-operations-deploymentsoperations-begin-create-or-update
We need to deploy the VM insights solution to our workspace.
I am currently deploying our synapse workspace using az cli and json templates and after deploying, pipeline is unable to pickup the spark pool name from pipeline parameters as in the attached pic.
Any help is appreciated!!
After posting to Microsoft forum, came to know that this is a bug with synapse devops deployment. As a work around, I am deploying synapse notebook with powershell Az.Synapse module which will let me assign sparkpool. From this, triggering the pipeline will not give an issue.
I'm following the tutorial Continuous integration and delivery on Azure Databricks using Azure DevOps to automate the process to deploy and install library on an Azure Databricks cluster. However, I'm stucked in the step "Deploy the library to DBFS" using task Databricks files to DBFS in Databricks Script Deployment Task extension by Data Thirst.
It continuously gives me this error:
##[error]The remote server returned an error: (403) Forbidden.
The configuration of this task is shown below:
I've checked with my token that it works fine when I try to upload the libraries manually through Databricks CLI. Thus, the problem shouldn't be due to the permission of the token.
Can anyone suggest any solution to this? Or is there any alternative way to deploy libraries to clusters on Azure Databricks via the release CD pipelines on Azure DevOps?
Did you check your Azure Region in Databricks? If you don't use the same Azure Region in Azure Devops, you will get 403 error.
After trying multiple times, it turns out if you don't use the extension and use Databricks CLI in the pipeline to directly upload files, the uploading will work smoothly. Hope this helps if someone got the same problem.
I also faced similar problem while using the Databricks Script Deployment Task created by Data Thirst. Then switched to DevOps for Azure Databricks created by Microsoft DevLabs. Below are the steps I used to work with Databricks CLI to achieve what I wanted to do as part of Azure Release Pipeline:
First, added Use Python version task. Referred to Python 3.7
Then, added Configure Databricks CLI. Provided workspace URL, e.g. adb-1234567890123456.12.azuredatabricks.net, and provided the personal access token by referring to a secret variable
Added a Command Line Script task, and added Databricks CLI scripts as inline code. Moreover, added --profile AZDO along with the scripts as this profile is configured in the previous step. E.g., dbfs cp $(System.DefaultWorkingDirectory)/abcd dbfs:/mytempfiles --recursive --overwrite --profile AZDO
I am able to create a new Hadoop cluster through the interface, but need to create a new cluster on request. Does anyone know if an API exists to create a new cluster?
Not yet. As of now (Preview) you must be using Windows Azure Management Portal Interface to create Hadoop cluster in your windows Azure Subscription.
As most of the Windows Azure Management functionalities are available on Powershell, it is possible to have such functionality built into Powershell over REST as described here however I don't know any immediate plans.
Yes, you can.
The Azure CLI allows you to control HDInsight clusters from a batch file for example. You then get a bunch of HDInsight control functions. Type
azure hdinsight
to see all the built in help. It covers all the basics (listing, creating configuring clusters) and the multiple storage account functionality.
This is I believe based on the nodejs sdk. To get going, install nodejs and
npm install azure-cli
This should give you what you need to be able to manage the clusters from the command line.
By asking "Create a new Hadoop cluster", I believe you mean Hadoop HDInsight Cluster.
If yes, then we can create a powershell(.ps1) script, which can do the job for you.
Here is the sample script which might be useful.
http://mydailyfindingsit.blogspot.in/2016/01/create-script-hdinsight-cluster.html