Azure Data Factory development with multiple users - azure-data-factory

can any one help me how to lock pipeline in ADF, is there any option when one developer is working other should not work, as with multiple developers are working on same pipeline without using Source Control

unfortunately there is no feature in Azure portal for Azure data factory to lock the pipeline changes if 2 or more are working on the same pipeline. You would have to create a clone of existing pipeline and work on those clones else the best way is to use source control like git

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Azure Data Factory - LiveCodeBackup

I have 150 pipelines and many datasets defined in Azure data factory. I want to take backup of live code everyday and save it to the code repository.
What is the best approach to backup the Code/pipelines/datasets/linked services to GIT repository. Do we have any API's available for the task?
Can we achieve this with PowerShell code? if yes, please share the PS code if you have it handy.
Appreciate your help..
Set up a code repository in the Azure data factory, then you can save all your resources to Azure DevOps or GitHub and get the Backup.
Please follow the below reference it has detailed expiation of GitHub code repository setup and Restores, backup of Azure data factory.
You can use another way to take Backup and Restore Azure Data Factory using an ARM template.
Reference:
https://www.sqlshack.com/using-source-control-in-azure-data-factory/
How to Backup and Restore Azure Data Factory from ARM Template ?
https://www.youtube.com/watch?v=X5uMYO06aMI
How to Backup and Restore Azure DevOps code repositories ?

Is there a way to manage development of Azure Data Factory using GIT Flow?

Is there a way to manage an azure data factory dev environment with azure DevOps Git integration with GitFlow branching model like https://nvie.com/posts/a-successful-git-branching-model/
Especially how to deal with hot fixes??
If you're writing explicitly versioned software or need to support many versions of your product in the field, git-flow is the way to go.
At this point we could see an Azure Repos Git organization can have numerous repositories, but each repository can only relate to one data factory hence, you cannot maintain multiple versions of ADF in single repository or branch.
If your intention is to maintain multiple versions of ADF on single repo/ master branch using GIT flow, then it is not yet possible. Source control - Azure Data Factory | Microsoft Docs

Azure Data Factory ADF Unit Testing on feature branch without having to deploy changes to the data factory instance

Is there a way to unit test individual pipelines in Azure Data Factory on a particular branch without having to deploy my changes. Currently the only way I am able to run unit tests on ADF pipelines is by publishing my changes to the data factory instance and kick off a pipeline run. However this approach requires me to merge my changes to the collaboration branch before I am able to execute any pipeline test cases.
Ideally I'd like to be able to kick off a pipeline on particular feature branch without having to deploy to the default instance, so that I can validate my test case and make adjustments before merging it with the collaboration branch.
Any suggestions people can give or resources they can point to?
I think you can try going for Automated Unit Testing for ADF, this will enable you to write a code and the test runs before deployment.
You can check a sample for the same here
At the time of writing it is not possible to command the Azure Data Factory API to run pipes in debug mode. You can call the published pipes through the REST API. If you do not want to modify the published configuration of Azure Data Factory you would need to have multiple data factories.
We use 1 ADF per engineer, and 1 ADF per higher level environment.

Is there a way to programatically generate the adf_publish content in Azure Data Factory?

I am new to Azure Data Factory and reading thorugh the docs I found that to generate an artifact to deploy to other DF envs, you need to publish in the dev DF, which generates an adf_publish branch with the jsons to deploy. My question is whether I can run this publish programatically and thus generate the jsons from any branch?
Not sure about programmatically publishing to adf_publish.
But, it's very possible to skip the adf_publish branch entirely and deploy using Azure DevOps or PowerShell straight from the source json instead.
Currently the only way to update the 'adf_publish' branch is by manually clicking the publish button in the UX.
The product group is currently designing a solution to be able to do this programmatically via a DevOps build task. No exact ETA unfortunately.
Thanks,
Daniel

Can I point an Azure Pipelines build at TFS?

We're in the process of moving to Git, but currently our main codebase is on TFS.
We have a small project that needs its own build, but also needs to share a bunch of code that our main codebase uses.
Creating a new CloudBuild queue seems too heavy for this project, so we'd like to create its build in Azure Pipelines, but we're unsure if Pipeline builds support going to TFS.
Is this supported, and what's the best way to set it up?
If you want Azure Pipelines take the code from your internal TFS server so no, is not supported. Azure Pipelines can take TFVC code only if the repository exist in Azure Repos.
Azure Pipelines can take external Git repository, so when you will move to Git you can build your code without any problem even is not stored in Azure Repos.