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DanielAmbler
Helper II
Helper II

Difficult to establish which connection to use in Pipeline Source/Destination across DEV/TEST/PROD

Hi,

 

I'm running through a POC and have 3 workspaces setup DEV, TEST, PROD.  I create a Datawarehouse and use a deployment pipeline from DEV -> TEST.

 

I also have a pipeline, there is currently an issue where the pipeline deploys but keeps the connection from DEV.  Going in to manually update the connection to the TEST Data Warehouse is confusing as there are two listed as per the image below.  Which is DEV and which is TEST?

 

DanielAmbler_1-1718027102780.png

 

 

1 ACCEPTED SOLUTION
Anonymous
Not applicable

Hi @DanielAmbler ,

Thanks for using Fabric Community.
Can you click on More connections?

vgchennamsft_1-1718081161496.png

 

vgchennamsft_0-1718082966509.png



vgchennamsft_1-1718083109599.png

 


Hope this is helpful. Please do let me know incase of further queries.

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3 REPLIES 3
Anonymous
Not applicable

Hi @DanielAmbler ,

Thanks for using Fabric Community.
Can you click on More connections?

vgchennamsft_1-1718081161496.png

 

vgchennamsft_0-1718082966509.png



vgchennamsft_1-1718083109599.png

 


Hope this is helpful. Please do let me know incase of further queries.

Thanks for the reply @Anonymous.  Using the extended dialog makes it a bit clearer.

 

I think I need to do a bit of digging into this behaviour - in the dev workspace I see only 1 warehouse to select, in test I see both the DEV and TEST warehouse to select.  I would expect to see only TEST.

 

Perhaps the confusion here is with me and how I would expect this to work.  I guess having an absolute connection to a single artifact may be a real scenario for some (although I would argue thats not a great design).

 

Thanks again for the reply.

Anonymous
Not applicable

Hi @DanielAmbler ,

Appreciate if you could share the feedback on our feedback channel. 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.

 

Hope this helps. Please let me know if you have any further queries.

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