Null pointer to imported experiment (run?)

[n8shadow]

I am trying to export-import mlflow objects from a deprecated databricks workspace to a new one. Thereby, I figured out following miss behavior when using local setup:

• export-model (from deprecated ws) works without any warning or error
• import-model (to new ws) works without any warning or error
• I see the model in the registry of the the new ws
• I see the experiment the model stems from in the new ws
• clicking the migrated experiment results in a null pointer
• clicking the run of the migrated model version in registry results in a null pointer

See also below screenshots. Do you have an idea why that happens? To me it seems that the imported (meta-) data are not complete and the run might be not available in the migrated object.

Doing the same with objects only involving the same (new) ws seems to work fine. I cannot test it with the notebooks since I don't have a mounted storage that is shared by the two workspaces.

All mlflow objects that I used for my tests were generated with mlflow version 1.24.0 and on a databricks cluster with runtime 10.4 LTS ML.

[amesar]

Not enough information to diagnose. Can you send me the exported zip file to email andre at databricks?