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So, when I try to run this recipe on source Datahub, it fails to configure the sink on target Datahub. I have the right token (created again a few times already) and right permissions but no luck.
Also, not sure if it's important, but I've exposed gms service on a URL like: https://datahub-aws.dev.example.com/gms. (example here just to not disclose the name of the company)
And I do have METADATA_SERVICE_AUTH_ENABLED set to true both on frontend and gms.
Expected behavior
I need the sink to be created.
Error
raise PipelineInitError(f"Failed to {step}: {e}") from e
datahub.ingestion.run.pipeline.PipelineInitError: Failed to configure the sink (datahub-rest): 💥 Failed to connect to DataHub with DataHubRestEmitter: configured to talk to https://datahub-aws.dev.example.com/gms with token: eyJh**********2NTw
Describe the bug
GMS connection not working via token.
To Reproduce
Steps to reproduce the behavior:
I'm trying to migrate Datahub from GKE to another cluster in AWS EKS. Even after redeploying Datahub and restoring the database, data is not there. Then I found this: https://datahubproject.io/docs/generated/ingestion/sources/datahub/
So, when I try to run this recipe on source Datahub, it fails to configure the sink on target Datahub. I have the right token (created again a few times already) and right permissions but no luck.
Also, not sure if it's important, but I've exposed gms service on a URL like: https://datahub-aws.dev.example.com/gms. (example here just to not disclose the name of the company)
And I do have
METADATA_SERVICE_AUTH_ENABLED
set to true both on frontend and gms.Expected behavior
I need the sink to be created.
Error
This is the recipe I have:
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