topic Configure Data pipelines to take environment specific information in Pipelines

Configure Data pipelines to take environment specific information

priyankabis — Wed, 19 Jun 2024 17:14:25 GMT

I have created a papameterised data pipeline. I want that that based on the environment file the paramaters are injected to the pipeline.

Eg workspace id for dev, uat are different. In my pipeline I am taking the values as parametres but how do i pass them for each env during deployments.

Re: Configure Data pipelines to take environment specific information

Anonymous — Thu, 20 Jun 2024 06:37:02 GMT

Hi priyankabis
Thanks for using Fabric Community.
Can you please explain the ask further? You want to send the workspace id to deployment pipelines?
Please provide more details so that I can help you better.

Thanks

Re: Configure Data pipelines to take environment specific information

priyankabis — Thu, 20 Jun 2024 12:03:11 GMT

Yes I want to send the workspace id , lakeouse id, source connection details to a data pipeline for different environments while deploying

Re: Configure Data pipelines to take environment specific information

priyankabis — Mon, 24 Jun 2024 11:57:28 GMT

Hi Microsoft team

Please let me know if this funtionality is supported or not as of now in Fabric. Also when can we expect azurepipeline.yaml to be available in Fabric

Re: Configure Data pipelines to take environment specific information

Anonymous — Tue, 25 Jun 2024 17:19:09 GMT

Hi priyankabis
Unfortunately,this functionality is not yet supported. We also do not have any information regarding azurepipeline.yaml availability in Fabric. However, your suggestion is definitely valuable! We use customer feedback like yours to prioritize future features. The more users who request the ability to customize backgrounds, the higher it moves on our list.

Appreciate if you could share the feedback on our Microsoft Fabric Ideas. Which would be open for the user community to upvote & comment on. This allows our product teams to effectively prioritize your request against our existing feature backlog and gives insight into the potential impact of implementing the suggested feature.

I hope this information helps. If you have any further queries please do let us know.