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Dear colleagues,
We are using PBI pipelines to deploy dataflows between 2 workspaces (TST and PRO).
Unfortunately the TST workspace was not created after some time. Once created we copied the the dataflow from PRO to TST by export and importing its JSON definition.
Our problem now is that when we try to use the deployment pipeline, Power BI service is not able to identify both dataflows as the same (on TEST he marks it as new and on PRO as not in test)
Would exist a way to make PBI to know that both are the same? An obvious option would be to remove the PRO one and deploy again from TST but therefore the dataflow generate will have a differenent ID and all developments done on top of it will have to be reviewed. Someone does know a less invasive approach?
Regards,
Alfons
Solved! Go to Solution.
From your screenshot, it looks like you only have two items in test (one that is the same as in production, and the other which you want to promote to production).
Might be a little of a pain, but you could try the following:
- To be safe, save the json files for both dataflows in test.
- Remove everything in test workspace.
- Go to deployment pipeline and from the production stage perform a backwards deployment.
- Go to the test workspace and upload the json for the modified dataflow and reverify.
You should now be able to peform the deployment of the modified dataflow, and everything should be tied together in the pipeline.
From your screenshot, it looks like you only have two items in test (one that is the same as in production, and the other which you want to promote to production).
Might be a little of a pain, but you could try the following:
- To be safe, save the json files for both dataflows in test.
- Remove everything in test workspace.
- Go to deployment pipeline and from the production stage perform a backwards deployment.
- Go to the test workspace and upload the json for the modified dataflow and reverify.
You should now be able to peform the deployment of the modified dataflow, and everything should be tied together in the pipeline.
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