I want to limit the deployment of a data model to an Azure analysis service to only the master branch. How can I configure that? I'm using Azure DevOps as a remote repository.
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Few days ago I had to recreate Azure Synapse Workspace. I had connected Git repository (Azure DevOps Git).
After Workspace recreation I reconnected to repo and restored whole project (pipelines, linked services etc.).
Unfortunately after this action template files are not being updated in main branch after Publishing changes in Synapse:
They are being updated only in Publish branch which should be rather read only:
I tried to create completely new repo, but with the same result - main folder is being created and synced properly:
but Templates folder and files are not created in main branch.
I'm using these templates for deployment to production and I need to make customizations so it's much easier to work with them in main branch.
Do you know how could I 'restore' previous behaviour?
Templates folder and files are not created in main branch.
To recover a deleted Azure Synapse instance that has source control configured either in GitGub or Azure DevOps, you need to create the new Branch. Follow below steps.
Create a new Azure Synapse instance of the service.
Reconfigure Git with the same settings, but make sure to import existing resources to the selected repository and choose New branch.
While configuring the repository, under Collaboration branch choose + Create new and create a new branch.
Create a pull request to merge the changes to the collaboration branch and publish.
In case there was a Self-hosted Integration Runtime in a Synapse workspace, a new instance of the IR must be created in a workspace. For an on-premises or virtual machine IR instance, they must be uninstalled and reinstalled, and a new key obtained. After setup of the new Integration Runtime is completed, the Linked Service must be updated to point to new IR and the connection should be tested again, or it will fail with error invalid reference.
I have tried to repo the same with a sample pipeline in the workspace, and when I restored it I can see both pipeline and template folder in the Repo. Refer below image.
Please refer Troubleshoot CI-CD, Azure DevOps, and GitHub issues in Azure Data Factory and Synapse Analytics to know more on backup and restore Azure Synapse.
im trying to deploy some synapse artifacts to a synapse workspace with devops repo integration via a python runbook. By using the azure-synapse-artifacts library of the python azure sdk the artifacts are published directly to the live mode of the synapse workspace. Is there any way to deploy artifacts to a devops repo branch for synapse? Didnt find any devops repo apis or libaries, just for the direct integration of git.
We can use CICD in this case, as this process will help to move entities from one environment to others, and for this we need to configure our synapse work space as source in GIT.
Below are few straight steps we can follow:
Set up Azure Synapse workspace and configure pipeline in Azure Devops.
Under staging while creating DevOps project, we can select Add Artifacts and select GIT.
Configure the workflow file and add workflow.
You can refer to MS Docs for detailed explanation of each step in achieving this task
I am looking for a sample ARM template which can setup my Azure DevOps repository into Azure Databricks. This will help me deploy my Master branch directly on ADB workspace.
I tried to do manually on portal and it works, but the repos path for the notebooks shows my email_id, which is not good in Production.
I want to configure through a Powershell OR an ARM template while creating Databricks. The same problem I am facing on Azure dataFactory as well.
Please help me resolve it.
It's not possible as of today - there is no API for creating a checkout. It will be possible only when Databricks Repos will start to provide corresponding API for creating the checkouts of repositories, not only "Update checkout" API that is available right now.
If you're concerned with the checkout created in your own folder, you can just create a Folder inside Repos, call it like "Production", and then do checkout inside that folder (pictures are taken from my demo of Repos with Azure DevOps):
To deploy Notebooks from your master branch to another workspace, I would recommend to trigger a deployment pipeline from the master branch onto the target databricks worskpace.
That way, no need to setup Repos in the target environment.
You use Repos in your development workspace (with your email in path)
You commit to the branch you work on and eventually merge / PR to master
Once on Master branch, a DevOps pipeline is triggered and deploys the notebook to your target workspace on the path you want
I am new to Azure devops. Here I have a requirement to do dacpac file build and deployment in Azure devops.can anyone help me to share me the step to step procedure.
I am using visual studio 2017.
Thanks
How to build and deploy dacpac in azure devops
You can use build pipeline to build that and then deploy it using release pipeline.
1.If you developed the sql server project by VS, you can publish it to Azure Devops Repos following this document.
2.Then create a build pepeline following this, you can use classic UI editor without YAML to configure your pipeline.
1) Select the Azure Devops Git as source. And choose the sql server project published from VS.
2) Choose the agent you want to use in Agent Job, Hosted agent or Private agent.
3) Click the + in Agent Job to add a task. You can choose the Visual Studio build task, this task will call msbuild.exe to build your sql server project.
3.To deploy the output of sql server project, there're many choices. One is to use Windows Machine File Copy task to deploy the files in current agent to destination folder in remote machine. You can use this task in Release or even Build Pipeline to do that.
Hope it helps and if I misunderstand anything, feel free to contact me.
Azure DevOps Pipeline : How to release Project binary file into Azure.
How can I deploy project binary files into server using Azure Pipeline, don't want to release project full source code?
You would do something like this.
create a deployment group
create a build, configure it
create a release, configure it (get artifacts from build, deploy to deployment group)
These are the steps you need to perform. link has more information on this matter